EP3992738A1 - System zur verarbeitung von visuellen fluoreszenzinspektionsdaten und verarbeitungsverfahren auf der basis von mes - Google Patents

System zur verarbeitung von visuellen fluoreszenzinspektionsdaten und verarbeitungsverfahren auf der basis von mes Download PDF

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Publication number
EP3992738A1
EP3992738A1 EP21190986.6A EP21190986A EP3992738A1 EP 3992738 A1 EP3992738 A1 EP 3992738A1 EP 21190986 A EP21190986 A EP 21190986A EP 3992738 A1 EP3992738 A1 EP 3992738A1
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EP
European Patent Office
Prior art keywords
data
inspection visual
mes
fluorescent inspection
fluorescent
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
EP21190986.6A
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English (en)
French (fr)
Inventor
Yu QIAN
Gaofeng Liu
Bin Jiang
Xia Li
Wenzhi Wang
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Oriental Bluesky Titanium Technology Co Ltd
Oriental Bluesky Titanium Tech Co Ltd
Original Assignee
Oriental Bluesky Titanium Technology Co Ltd
Oriental Bluesky Titanium Tech Co Ltd
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Application filed by Oriental Bluesky Titanium Technology Co Ltd, Oriental Bluesky Titanium Tech Co Ltd filed Critical Oriental Bluesky Titanium Technology Co Ltd
Publication of EP3992738A1 publication Critical patent/EP3992738A1/de
Pending legal-status Critical Current

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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by quality surveillance of production
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84—Systems specially adapted for particular applications
    • G01N21/88—Investigating the presence of flaws or contamination
    • G01N21/91—Investigating the presence of flaws or contamination using penetration of dyes, e.g. fluorescent ink
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/22—Indexing; Data structures therefor; Storage structures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2462—Approximate or statistical queries
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/32—Operator till task planning
    • G05B2219/32187—Correlation between controlling parameters for influence on quality parameters
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/32—Operator till task planning
    • G05B2219/32196—Store audit, history of inspection, control and workpiece data into database
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/32—Operator till task planning
    • G05B2219/32207—Action upon failure value, send warning, caution message to terminal
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/37—Measurements
    • G05B2219/37208—Vision, visual inspection of workpiece
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/45—Nc applications
    • G05B2219/45066—Inspection robot
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Definitions

  • the present invention belongs to the field of fluorescent inspection technologies, and in particular relates to a fluorescent inspection visual data processing system and a processing method thereof based on a manufacturing execution system (MES).
  • MES manufacturing execution system
  • an intelligent fluorescent magnetic particle inspection system has been developed in Southwest University of Science and Technology of China.
  • the system uses a mechanical apparatus with a conveyor belt, a specialised magnetic particle detector, and a charge-coupled device (CCD) vision camera technology, and can be linked to a product production line, thereby implementing synchronisation between parts detection and production.
  • CCD charge-coupled device
  • An aerospace fastener manufacturing company of China has independently developed an intelligent fluorescent inspection visual recognition system.
  • the system uses a visual positioning technology, an ABB robot technology, a CCD vision camera technology, and the like, and is applicable to various types of metal fasteners for 360° omnidirectional defect detection.
  • Fluorescent inspection is a non-destructive inspection method for detecting defects on the surface of parts. After parts to be inspected are put into an inspection device and undergo a sequence of processing, yellow and green signals are displayed at the defects on the surface of the parts.
  • a visual recognition device is usually required to inspect the surface of the parts. After the visual inspection, the device performs material sorting and screening based on whether there is display of a defect on the surface of the parts.
  • the parts are automatically sorted to a defective product area; or when no defect display signal is recognised, the parts are sorted to a non-defective product area. After the parts to be inspected are all visually inspected, an inspector only rechecks all the defective parts products.
  • an automated fluorescent inspection device can implement automatic screening based on the display of defect traces, that is, parts with no inspected display are screened as non-defective products, and parts with display of defects are screened as defective products, but the device cannot distinguish between states of display of defect traces, so that a product with display of a defect of any state is treated as a defective product. Then an inspector rechecks and verifies the product with the eyes.
  • this manner of pre-inspection by using an automated device improves inspection efficiency, further improvement is necessary in the aspects of a data collection mode, a data management method, a warning mechanism, and the like.
  • parts to be inspected are sorted to be non-defective products or defective products in the manner of pre-inspection by using an automated device, and then an inspector performs rechecking and verification based on states of display of defect traces on the defective products.
  • an inspector performs rechecking and verification based on states of display of defect traces on the defective products.
  • the present invention provides a fluorescent inspection visual data processing system and a processing method thereof based on an MES, which are time-saving and highly efficient and can be used to automatically record defect signal data and avoid manual rechecking.
  • a fluorescent inspection visual data processing system based on an MES in the present invention comprises an MES system, a database, an intelligent fluorescent inspection visual device, and a data collection server, wherein
  • the intelligent fluorescent inspection visual device comprises a visual positioning system, an ABB robot module, and a CCD camera module, wherein
  • the CCD camera automatically triggers the data collection server to perform statistics collection.
  • the data collection server has a customised data monitoring function, to perform real-time monitoring on the status of the test data according to the user preset rule and set a warning level threshold for a user, wherein when the number of defective products transmitted in real time by the intelligent fluorescent inspection visual device to the data collection server is less than the threshold, the intelligent fluorescent inspection visual device keeps working; or when the number of defective products transmitted in real time is equal to or greater than the threshold, the data collection server triggers the warning apparatus of the intelligent fluorescent inspection visual device, and suspends working of the intelligent fluorescent inspection visual device; and the warning apparatus initiates online confirmation of verification information for a fluorescent display picture of the defective product by using the MES system, and an inspector performs verification, thereby controlling whether the intelligent fluorescent inspection visual device continues working.
  • a customised data monitoring function to perform real-time monitoring on the status of the test data according to the user preset rule and set a warning level threshold for a user, wherein when the number of defective products transmitted in real time by the intelligent fluorescent inspection visual device to the data collection server is less than the threshold, the intelligent
  • test data comprises fluorescent display pictures at different positions of the parts to be inspected, the number of parts with no fluorescent display, the number of parts with fluorescent display, and a personalised analysis chart, and the test data is in a common data format.
  • the information about the batch of parts to be inspected comprises a batch number, a process name, and specifications.
  • the working mode comprises setting of a visual positioning system parameter, setting of an ABB robot module parameter, and setting of a CCD camera module parameter.
  • a processing method for a fluorescent inspection visual data processing system based on an MES described in the present invention comprises the following steps:
  • the intelligent fluorescent inspection visual device comprises a visual positioning system, an ABB robot module, and a CCD camera module; after the working mode is activated, the visual positioning system puts a part to be inspected into a specified position in a manner of flexible vibration, and sends placement attitude information of the part to an ABB robot; the ABB robot automatically picks up a corresponding part based on the placement attitude information of the part, and passes the part to the CCD camera; and the CCD camera performs real-time monitoring on all fluorescent display signal states on the surface of the part, wherein when the part to be inspected is recognised by using the CCD camera, the CCD camera automatically triggers the data collection server to perform statistics collection.
  • a warning level threshold is preset for a user, wherein when the number of defective products transmitted in real time by the intelligent fluorescent inspection visual device to the data collection server is less than the threshold, the intelligent fluorescent inspection visual device keeps working; or when the number of defective products transmitted in real time is equal to or greater than the threshold, the data collection server triggers the warning apparatus of the intelligent fluorescent inspection visual device, and suspends working of the intelligent fluorescent inspection visual device; and an inspector performs online confirmation for a fluorescent display picture of the defective product by using the MES system, and controls the intelligent fluorescent inspection visual device to perform corresponding working.
  • a visual recognition device is integrated with an MES (manufacturing execution system) system.
  • the MES system pushes a drive instruction to the visual recognition device, and enables the visual recognition device to automatically perform a visual inspection operation.
  • Test data collected in the visual inspection process is fed back in real time to the MES system, thereby implementing closed-loop management of the inspection process.
  • An inspector can monitor the visual inspection process in real time via the MES system, and can perform online management of a testing progress, a proportion of abnormal parts, a warning mechanism, and the like based on actual needs.
  • the MES system a platform may be used to coordinate and control an automated fluorescent inspection device and an inspector, so that a fast data processing capability in an inspection process is improved, thereby helping make fluorescent inspection more intelligent.
  • the automated fluorescent inspection device is integrated with the MES system, so that the MES system is used to manage and control the device, and may perform real-time tracking and monitoring in the inspection process with a high degree of management intelligence.
  • the device automatically adjusts a working parameter and starts to operate, process data is automatically uploaded to the MES system to be stored, and intelligent management is performed in the inspection process.
  • the inspector can set a corresponding warning mechanism based on a product feature.
  • the device continuously recognises a specific number of defective products
  • working of the device is suspended, and defect display pictures of the continuously recognised defective products are sent to the MES system and are assessed online by the inspector.
  • the device performs corresponding working, for example, continuing or stopping working, based on an assessment result of the inspector.
  • intelligent management of fluorescent inspection visual data may be implemented. All test data is automatically uploaded to the system for storage, statistics collection, and analysis, and defect signal data processing by an inspector online can be supported, thereby improving the efficiency and quality of testing.
  • 1 represents a CCD camera
  • 2 represents an ABB robot
  • 3 represents a visual positioning system.
  • a fluorescent inspection visual data processing system based on an MES comprises an MES system, a database, an intelligent fluorescent inspection visual device, and a data collection server.
  • the MES system is configured to perform production scheduling based on production scheduling information, and transmit information about a batch of parts to be inspected to the database; and is configured to access real-time data information collected by the data collection server.
  • the MES (manufacturing execution system) system performs production scheduling based on the production scheduling information, and transmits the information about the batch of parts to be inspected to the database.
  • the MES system is also configured to access real-time data information collected by the data collection server, and the production scheduling information is obtained through summarisation and conclusion of historical production information.
  • the database is configured to receive the information about the batch of parts to be inspected pushed by the MES system, extract structured data based on a feature of the information about the batch of parts to be inspected, and automatically push the structured data to the intelligent fluorescent inspection visual device.
  • the database is responsible for receiving the information about the batch of parts to be inspected pushed by the MES system, extracting structured data, for example, a batch number, a process name, specifications, and another parameter, based on a feature of the information about the parts, and automatically push the structured data to an intelligent device.
  • the intelligent fluorescent inspection visual device is configured to receive the structured data pushed from the database, automatically select a corresponding working mode based on a key field of the structured data, automatically sort a part based on a fluorescent display signal state, and automatically transmit test data to the data collection server to be stored, wherein the intelligent fluorescent inspection visual device automatically transmits test data generated in an operation process to the MES system to perform statistical analysis on the test data.
  • the data collection server is configured to perform real-time monitoring on a status of the test data according to a user preset rule, and control, in real time based on a monitoring result, whether to trigger a warning apparatus of the intelligent fluorescent inspection visual device.
  • the intelligent fluorescent inspection visual device comprises a visual positioning system 3, an ABB robot 2 module, and a CCD camera 1 module, wherein
  • the fluorescent inspection visual data processing system based on an MES according to the embodiments.
  • the data collection server has a customised data monitoring function, to perform real-time monitoring on the status of the test data according to the user preset rule and set a warning level threshold for a user, wherein when the number of defective products transmitted in real time by the intelligent fluorescent inspection visual device to the data collection server is less than the threshold, the intelligent fluorescent inspection visual device keeps working; or when the number of defective products transmitted in real time is equal to or greater than the threshold, the data collection server triggers the warning apparatus of the intelligent fluorescent inspection visual device, and suspends working of the intelligent fluorescent inspection visual device; and the warning apparatus initiates online confirmation of verification information for a fluorescent display picture of the defective product by using the MES system, and an inspector performs verification, thereby controlling whether the intelligent fluorescent inspection visual device continues working.
  • the test data generated in the operation process of the intelligent fluorescent inspection visual device is automatically transmitted to the data collection server to be stored.
  • the data collection server has a customised data monitoring function, to perform real-time monitoring on the status of the test data according to the user preset rule.
  • a warning level as X
  • the intelligent fluorescent inspection visual device keeps working; or when the number of defective products transmitted in real time reaches X, the data collection server triggers the warning apparatus of the intelligent fluorescent inspection visual device, and suspends working of the intelligent fluorescent inspection visual device.
  • An inspector performs online confirmation for a fluorescent display picture of the defective product by using the MES system, and after the confirmation, the inspector may trigger either of two instructions “stopping” and “continuing” to enable the intelligent fluorescent inspection visual device to perform corresponding working.
  • a specific process is shown in FIG. 3 .
  • the fluorescent inspection visual data processing system based on an MES according to the embodiments is provided.
  • the test data comprises fluorescent display pictures at different positions of the parts to be inspected, the number of parts with no fluorescent display (the number of non-defective products), the number of parts with fluorescent display (the number of defective products), and a personalised analysis chart, and the test data is in a common data format and may be transmitted to the MES system to perform statistical analysis.
  • the information about the batch of parts to be inspected comprises a batch number, a process name, and specifications.
  • the fluorescent inspection visual data processing system based on an MES according to the embodiments is provided.
  • the working mode comprises setting of a visual positioning system 3 parameter, setting of an ABB robot 2 module parameter, and setting of a CCD camera 1 module parameter.
  • the visual positioning system 3 puts a number of parts to be inspected into specified positions in a manner of flexible vibration, and sends placement attitude information of the parts to the ABB robot 2; the ABB robot 2 automatically picks up corresponding parts based on the attitude information of the parts, and passes the parts to the CCD camera 1; and the CCD camera 1 performs real-time monitoring on all fluorescent display signal states on the surfaces of the parts, and automatically sorts the parts to be non-defective products or defective products based on the fluorescent display signal states.
  • a processing method for a fluorescent inspection visual data processing system based on an MES comprises steps as follows.
  • the intelligent fluorescent inspection visual device comprises a visual positioning system 3, an ABB robot 2 module, and a CCD camera 1 module; after the working mode is activated, the visual positioning system 3 puts parts to be inspected into a specified position in a manner of flexible vibration, and sends placement attitude information of the part to the ABB robot 2; the ABB robot 2 automatically picks up a corresponding part based on the placement attitude information of the part, and passes the part to the CCD camera 1; and the CCD camera 1 performs real-time monitoring on all fluorescent display signal states on the surface of the part, wherein when the part to be inspected is recognised by using the CCD camera 1, the CCD camera 1 automatically triggers the data collection server to perform statistics collection.
  • a warning level threshold is preset for a user, wherein when the number of defective products transmitted in real time by the intelligent fluorescent inspection visual device to the data collection server is less than the threshold, the intelligent fluorescent inspection visual device keeps working; or when the number of defective products transmitted in real time is equal to or greater than the threshold, the data collection server triggers the warning apparatus of the intelligent fluorescent inspection visual device, and suspends working of the intelligent fluorescent inspection visual device; and an inspector performs online confirmation for a fluorescent display picture of the defective product by using the MES system, and controls the intelligent fluorescent inspection visual device to perform corresponding working.

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  • Engineering & Computer Science (AREA)
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  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Databases & Information Systems (AREA)
  • Probability & Statistics with Applications (AREA)
  • Data Mining & Analysis (AREA)
  • Automation & Control Theory (AREA)
  • Analytical Chemistry (AREA)
  • Computational Linguistics (AREA)
  • Fuzzy Systems (AREA)
  • Quality & Reliability (AREA)
  • Manufacturing & Machinery (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Mathematical Physics (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Investigating, Analyzing Materials By Fluorescence Or Luminescence (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
  • General Factory Administration (AREA)
EP21190986.6A 2020-10-29 2021-08-12 System zur verarbeitung von visuellen fluoreszenzinspektionsdaten und verarbeitungsverfahren auf der basis von mes Pending EP3992738A1 (de)

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CN202011181236.1A CN112345547A (zh) 2020-10-29 2020-10-29 一种基于mes的荧光探伤视觉数据处理系统及其处理方法

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Citations (4)

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WO2012122542A2 (en) * 2011-03-09 2012-09-13 Rolls-Royce Corporation Intelligent airfoil component surface imaging inspection
US20150192526A1 (en) * 2014-01-03 2015-07-09 Bell Helicopter Textron Inc. Automated magnetic particle and fluorescent penetrant defect detection system
CN110154190A (zh) * 2019-05-15 2019-08-23 索菲亚家居湖北有限公司 一种具有在线视觉检测功能的家居板件生产线及检测方法
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CN201637843U (zh) * 2010-03-22 2010-11-17 华润赛美科微电子(深圳)有限公司 探针台测试监控装置
CN103308593A (zh) * 2012-03-07 2013-09-18 常州市西牧电气设备有限公司 一种磁粉焊接探伤的缺陷智能识别检测系统
CN109835789A (zh) * 2019-03-26 2019-06-04 通力电梯有限公司 实时监控系统和包括其的电梯或扶梯以及方法
CN110420882B (zh) * 2019-08-20 2023-07-04 桂林电子科技大学 基于智能制造模式曲轴磁粉探伤自动线系统及方法

Patent Citations (4)

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Publication number Priority date Publication date Assignee Title
WO2012122542A2 (en) * 2011-03-09 2012-09-13 Rolls-Royce Corporation Intelligent airfoil component surface imaging inspection
US20150192526A1 (en) * 2014-01-03 2015-07-09 Bell Helicopter Textron Inc. Automated magnetic particle and fluorescent penetrant defect detection system
US20200167905A1 (en) * 2018-11-27 2020-05-28 General Electric Company Fluorescent penetrant inspection system and method
CN110154190A (zh) * 2019-05-15 2019-08-23 索菲亚家居湖北有限公司 一种具有在线视觉检测功能的家居板件生产线及检测方法

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